Abstract. The purpose of this paper is to describe and study several algorithms for implementing multilevel projection methods for nonlinear least-squares finite element computations. These algorithms are variants of the full approximation storage (FAS) scheme which is widely used in nonlinear multilevel computations. The methods are derived in the framework of the least-squares mixed formulation of nonlinear second-order elliptic problems. The nonlinear variational problems on each level are handled by smoothers of Gauss-Seidel type based on a space decomposition of the finite element spaces. Finally, the different algorithms are tested and compared for a nonlinear elliptic problem arising from an implicit time discretization of a variably...
Bacuta, ConstantinWe present a general framework for solving mixed variational formulations of parti...
A new fully variational approach is studied for elliptic grid generation (EGG). It is based on a gen...
This paper introduces a nonlinear multigrid solver for mixed finite element discretizations based on...
. A least-squares mixed finite element formulation is applied to the nonlinear elliptic problems ari...
. For least-squares mixed finite element methods for the first-order system formulation of second-or...
A fully variational approach is developed for solving nonlinear elliptic equations that enables accu...
Abstract. In a companion paper [8], we propose a new multilevel solver for two-dimensional elliptic ...
Abstract. A fully variational approach is developed for solving nonlinear elliptic equations that en...
Abstract. This paper develops a general superconvergence result for the least-squares mixed finite e...
In this paper, we present a brief survey of methods for solving nonlinear least-squares problems. We...
AbstractObstacle problems are nonlinear free boundary problems and the computation of approximate so...
AbstractA theoretical framework for the least squares solution of first order elliptic systems is pr...
Abstract. Least-squares finite element methods (LSFEMs) for scalar linear partial differential equat...
The approximate solution of optimization and control problems for systems governed by linear, ellipt...
In this paper, we study least-squares finite element methods (LSFEM) for general second-order ellipt...
Bacuta, ConstantinWe present a general framework for solving mixed variational formulations of parti...
A new fully variational approach is studied for elliptic grid generation (EGG). It is based on a gen...
This paper introduces a nonlinear multigrid solver for mixed finite element discretizations based on...
. A least-squares mixed finite element formulation is applied to the nonlinear elliptic problems ari...
. For least-squares mixed finite element methods for the first-order system formulation of second-or...
A fully variational approach is developed for solving nonlinear elliptic equations that enables accu...
Abstract. In a companion paper [8], we propose a new multilevel solver for two-dimensional elliptic ...
Abstract. A fully variational approach is developed for solving nonlinear elliptic equations that en...
Abstract. This paper develops a general superconvergence result for the least-squares mixed finite e...
In this paper, we present a brief survey of methods for solving nonlinear least-squares problems. We...
AbstractObstacle problems are nonlinear free boundary problems and the computation of approximate so...
AbstractA theoretical framework for the least squares solution of first order elliptic systems is pr...
Abstract. Least-squares finite element methods (LSFEMs) for scalar linear partial differential equat...
The approximate solution of optimization and control problems for systems governed by linear, ellipt...
In this paper, we study least-squares finite element methods (LSFEM) for general second-order ellipt...
Bacuta, ConstantinWe present a general framework for solving mixed variational formulations of parti...
A new fully variational approach is studied for elliptic grid generation (EGG). It is based on a gen...
This paper introduces a nonlinear multigrid solver for mixed finite element discretizations based on...